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Article

On the Maximum ABS Index of Fixed-Order Trees with a Given Maximum Degree

1
Department of Mathematics, College of Engineering and Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India
2
Department of Mathematics, College of Science, University of Ha’il, Ha’il P.O. Box 2240, Saudi Arabia
3
Department of Mathematics, School of Arts, Sciences and Humanities, SASTRA Deemed University, Thanjavur 613401, Tamil Nadu, India
4
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
*
Author to whom correspondence should be addressed.
Mathematics 2024, 12(17), 2704; https://doi.org/10.3390/math12172704
Submission received: 28 July 2024 / Revised: 27 August 2024 / Accepted: 28 August 2024 / Published: 30 August 2024
(This article belongs to the Section Mathematics and Computer Science)

Abstract

:
The ABS (atom-bond sum-connectivity) index of a graph G is denoted by A B S ( G ) and is defined as x y E ( G ) ( d x + d y ) 1 ( d x + d y 2 ) , where d x represents the degree of the vertex x in G. In this paper, we derive the best possible upper bounds on the ABS index for fixed-order trees possessing a given maximum degree, which provides a solution to the open problem proposed quite recently by Hussain, Liu and Hua.

1. Introduction

For terminology and notions concerning graph theory or chemical graph theory, we refer the reader to books [1,2] or [3,4], respectively.
A property of graphs that remains the same under graph isomorphism is referred to as a graph invariant [5]. The graph invariants that take only numerical quantities are commonly known as topological indices in chemical graph theory [4]. It is important to note that the choice of topological index depends on the specific application and the structural features of interest.
Various topological indices capture different aspects of molecular structure and properties to aid in the prediction of molecular characteristics, and they are often used in QSPR (quantitative structure–property relationship) studies and cheminformatics to correlate the structure of chemical compounds with their properties or activities [6].
A common tool in mathematical chemistry to predict the physico-chemical characteristics of chemical compounds is the connectivity index [7], which is a topological index introduced in the mid-1970s. For a graph G, this index is represented by R ( G ) and is defined as
R ( G ) = x y E ( G ) ( d x d y ) 1 / 2 ,
where E ( G ) is used for representing the edge set of G, and d x is used for representing the degree of the vertex x in G. (If two or more graphs are under consideration at once, then we use d G ( x ) instead of d x to represent the degree of x in G.) To discover more about the connectivity index, see the books [8,9,10] and survey papers [11,12].
The atom-bond connectivity index (ABC index) [13,14] as well as the sum-connectivity (SC) index [15] are variants of the connectivity index, which were introduced with the aim of improving QSAR studies involving topological indices. These two indices for a graph G are defined as
A B C ( G ) = x y E ( G ) ( d x d y ) 1 ( d x + d y 2 ) and S C ( G ) = x y E ( G ) ( d x + d y ) 1 / 2 .
We remark here that both the SC index and the connectivity index take into account only the degrees of atoms in a molecular graph, while the ABC index takes into account the degrees of both atoms and bonds in a molecular graph, providing a more detailed characterization compared to some indices that focus only on atoms or bonds individually. To discover more about the ABC index, see the surveys [16,17,18,19,20] and the related papers cited therein. Particularly, the reader can consult [21,22] for the solution of a well-researched problem on this index. Moreover, the surveys [19,23] and the related papers cited therein can be consulted for additional information about the SC index.
The atom-bond sum-connectivity index (ABS index) [24] can be considered as a variant of each of the ABC, connectivity and SC indices. For a graph G, this index is defined as
A B S ( G ) = x y E ( G ) ( d x + d y ) 1 ( d x + d y 2 ) .
We remark that the ABS is a particular form of a more general index studied in [25].
Although the ABS index has been introduced quite recently, a considerable number of publications on this index have already appeared. In [26,27,28], this index was not only examined for its chemical applications but its mathematical aspects were also investigated. Some results regarding the extremum values of the ABS index of trees having a fixed number of degree-one and fixed-order vertices can be found in [29,30]. The ABS index was directly compared with the SC index in [31]; see also [32], where several relationships between the ABS index and some other connectivity indices were derived; see [33] for the general case. The greatest values of this index over certain families of graphs with given parameters were studied in [34]. The study on the extremum values of this index of fixed-order chemical trees, chemical unicyclic graphs, chemical bicyclic graphs and chemical tricyclic graphs was carried out in [35]. The ABS index of line graphs was studied in [36]. Some other extremal problems regarding the ABS index of trees were addressed in [37,38].
For a graph G and x V ( G ) , we define N G ( x ) = { α : α x E ( G ) } ; particularly, every element of this set is referred to as a neighbor of x. Also, x is a pendent vertex if d G ( x ) = 1 , and x is branching if d G ( x ) > 2 . Moreover, x is referred to as a claw if d G ( x ) 1 of its neighbors are pendent. Let V 0 ( G ) represent the set of pendent vertices of G. Define V 1 ( G ) = { y V ( G ) : N G ( y ) V 0 ( G ) } . The maximum degree of G is represented as Δ = Δ ( G ) . The graph that results from G by removing x V ( G ) is represented by G x . Also, the graph that results from G by deleting x y E ( G ) is represented as G x y . Similarly, if x y E ( G ) , then G + x y represents the graph that is constructed from G after inserting the edge x y . A pendent path P = v 0 v 1 v r in a graph G is a nontrivial path such that d G ( v 0 ) = 1, d G ( v r ) 3 , and d G ( v i ) = 2 whenever 2 i r 1 . We call the vertices v 0 and v r as the end vertices of P. The number r is called the length of the pendent path P. When r equals 1, P represents a pendent edge. Consider T as a tree with n = | V ( T ) | and Δ = Δ ( T ) . When Δ equals 2, then T = P n . Also, when Δ equals n 1 , then T = K 1 , n 1 . Thus, for the subsequent discussion, we assume that Δ lies between 3 and n 2 .
We are interested in the following problem, posed recently in [39]:
Problem 1.
Let T ( n , Δ ) denote the class of all n-order trees with a maximum degree of Δ . Find the tree(s) possessing the largest ABS index over T ( n , Δ ) .
The next section gives a solution to Problem 1 when Δ { 3 , 4 } . In Section 3, a solution to Problem 1 is provided when 3 n / 2 Δ n 2 . Finally, Problem 1 with the constraints 5 Δ < n / 2 is addressed in Section 4, where we utilize computer software to determine trees possessing the largest ABS index over T ( n , Δ ) for every pair ( n , Δ ) satisfying 5 Δ < n / 2 and 11 n 16 . Based on the structures of the obtained extremal trees, we pose two conjectures.

2. Trees with Maximum Degree 3 or 4

This section is concerned with a solution to Problem 1 when Δ { 3 , 4 } . The solution to Problem 1 for Δ = 4 and n 11 follows from Theorem 12 of [24] because the trees possessing the largest ABS index over T ( n , 2 ) T ( n , 3 ) T ( n , 4 ) have a maximum degree of 4 for n 11 (see Theorem 12 in [24]). Also, T ( 6 , 4 ) consists of exactly one graph. The graphs with the greatest ABS index in T ( n , 4 ) with 7 n 10 are given in Figure 1; these trees are found by utilizing computer software. In what follows, we provide a solution to Problem 1 when Δ = 3 .
The number of edges in an n-order tree T with a maximum degree of 3 that join the vertices of degrees α and β is denoted by m α , β . The ABS index can therefore be expressed in terms of m α , β , as given below:
A B S ( T ) = 1 α β 3 1 2 α + β m α , β ,
Let n α represent the number of degree α vertices in tree T. Then,
α = 1 3 n α = n ,
α = 1 3 α · n α = 2 ( n 1 ) ,
1 α 3 α β m β , α + 2 m β , β = β · n β , β = 1 , 2 , 3 .
Theorem 1.
Let T ( n , 3 ) denote the class of all n-order trees such that Δ = 3 .
(a).
If n is even and n 4 , then the largest ABS index in T ( n , 3 ) is
3 2 + 2 6 12 n + 3 2 4 6 6 ,
which is possessed by only those trees that consist of vertices of degrees 1 and 3; for an example, see Figure 2.
(b).
If n is odd and n 7 , then the largest ABS index in T ( n , 3 ) is
3 2 + 2 6 12 n + 15 2 70 6 + 24 15 60 ,
which is possessed by only those trees that have only one vertex with a degree of 2, whose both neighbors have degree 3; for an example, see Figure 3.
Proof. 
For the unknowns m 1 , 3 , m 3 , 3 , n 3 , n 2 and n 1 , we solve Equations (2)–(4). The values of m 1 , 3 and m 3 , 3 are provided below:
m 1 , 3 = 1 4 ( 2 n + 4 m 2 , 3 2 m 2 , 2 5 m 1 , 2 ) ,
m 3 , 3 = 1 4 ( 2 n 8 3 m 2 , 3 2 m 2 , 2 + m 1 , 2 ) .
By utilizing Equations (5) and (6) in Equation (1), we arrive at the following equation:
A B S ( T ) = 3 2 + 2 6 12 n + 3 2 4 6 6 + 2 6 15 2 + 8 3 24 m 1 , 2 + 3 2 2 6 12 m 2 , 2 + 8 15 5 2 10 6 40 m 2 , 3 .
Let
Γ A B S ( T ) = 2 6 15 2 + 8 3 24 m 1 , 2 + 3 2 2 6 12 m 2 , 2 + 8 15 5 2 10 6 40 m 2 , 3 .
Thus, Equation (7) can be rewritten as follows:
A B S ( T ) = 3 2 + 2 6 12 n + 3 2 4 6 6 + Γ A B S ( T ) .
Observe that
Γ A B S ( T ) 0.10240 m 1 , 2 0.05469 m 2 , 2 0.01455 m 2 , 3 0 ,
which means that it suffices to search tree T for which Γ A B S ( T ) is maximum in order to achieve the greatest values of the ABS index of T.
(a). Suppose that n is even and n 4 . Let T 4 be the star graph of order 4. Let T n + 2 denote the tree formed by attaching two new pendent vertices at a pendent vertex of T n . Thus, it is always possible to construct an n-order tree consisting of only vertices of degrees 1 and 3 when n is even and n 4 ; for such a tree, the value of Γ A B S is 0. Thus, part (a) now follows from (8) and (10).
(b). Suppose that n is odd and n 7 . Then, every n-order tree T with a maximum degree of 3 possesses at least one vertex of degree 2. However, (8) or (10) imply that
Γ A B S ( T ) 8 15 5 2 10 6 20
with equality if and only if n 2 = 1 , m 2 , 3 = 2 and m 1 , 2 = m 2 , 2 = 0 . Let T 7 * denote the tree with 7 vertices depicted in Figure 4. Denote the constructed tree by T n + 2 * by attaching two new pendent vertices at a pendent vertex of T n * for odd n 7 . Thus, it is always possible to construct an n-order tree such that Δ = 3 and where it only has a single vertex with a degree of 2, whenever n is odd and n 7 ; for such a tree, the value of Γ A B S is 8 15 5 2 10 6 20 . Thus, part (b) now follows from (8) and (11).

3. On n -Order Trees of Maximum Degree at Least n / 2

This section is devoted to finding a solution to Problem 1 when Δ n / 2 . Before proving the main result of the present section, we prove a crucial lemma.
Lemma 1.
For a tree T, take x , y V ( T ) , satisfying d T ( x ) > d T ( y ) 2 . Also, take x x 0 , y y 0 E ( T ) , where y 0 is pendent and x 0 does not lie on the unique path connecting x and y. Let N T ( x 0 ) { x } = { x 1 , x 2 , , x r 1 } with r 2 . Assume that T is the tree formed from T by removing the edges x 0 x 1 , x 0 x 2 , , x 0 x r 1 and inserting the edges y 0 x 1 , y 0 x 2 , , y 0 x r 1 . Then,
A B S ( T ) > A B S ( T ) .
Proof. 
Observe that
A B S ( T ) A B S ( T ) = 1 2 d T ( y ) + r + 1 2 d T ( x ) + 1 1 2 d T ( x ) + r 1 2 d T ( y ) + 1 = 1 2 d T ( y ) + r 1 2 d T ( x ) + r + 1 2 d T ( x ) + 1 1 2 d T ( y ) + 1 .
The derivative of the function Ψ defined by
Ψ ( α ) = 1 2 d T ( y ) + α 1 2 d T ( x ) + α with α 2 ,
is
Ψ ( α ) = Φ ( d T ( y ) + α ) Φ ( d T ( x ) + α ) ,
where d T ( x ) and d T ( y ) are fixed integers satisfying d T ( x ) > d T ( y ) 2 , and
Φ ( β ) = 1 β 2 β β 2 .
Certainly, the function Φ is strictly decreasing for β > 2 ; thus, Ψ ( α ) > 0 for α 2 . Hence, Ψ ( α ) Ψ ( 2 ) ; thus, (12) yields
A B S ( T ) A B S ( T ) 1 2 d T ( y ) + 2 1 2 d T ( x ) + 2 + 1 2 d T ( x ) + 1 1 2 d T ( y ) + 1 = 1 2 d T ( y ) + 2 1 2 d T ( y ) + 1 1 2 d T ( x ) + 2 1 2 d T ( x ) + 1 .
As the function Υ defined by
Υ ( γ ) = 1 2 γ + 2 1 2 γ + 1 with γ 2 ,
is strictly decreasing, one gets A B S ( T ) > A B S ( T ) from (13). □
Now, we prove the main result of this section.
Theorem 2.
If T is an n-order tree of maximum degree Δ satisfying the condition 3 n 2 Δ n 2 , then
A B S ( T ) ( Δ 1 ) 1 2 Δ + 1 + ( n Δ 1 ) 1 2 n Δ + 1 + 1 2 n .
The sufficient and necessary condition for the equality in (14) is T W n , Δ , where W n , Δ is the graph constructed by attaching n Δ 1 pendent vertices to one pendent vertex of K 1 , Δ (see Figure 5).
Proof. 
If T is isomorphic to W n , Δ , then
A B S ( T ) = ( Δ 1 ) 1 2 Δ + 1 + ( n Δ 1 ) 1 2 n Δ + 1 + 1 2 n .
Next, we establish (14).
Among all n-order trees of maximum degree Δ satisfying the given condition, we assume that T is the one for which A B S ( T ) is maximum. Suppose that there exists z V ( T ) , provided that d T ( z ) = Δ , where Δ 3 . Given that Δ is greater than or equal to n 2 , it follows that N T ( z ) V 0 ( T ) is not an empty set. Now, let us choose a vertex x 0 from V 0 ( T ) , such that z x 0 forms an edge in E ( T ) . Our primary goal is to illustrate two crucial facts.
Fact 1.
The vertex z is a claw.
Proof of Fact 1.
Suppose that z does not exhibit a claw-like structure. Let us consider a vertex y from V 1 ( T ) excluding z, such that there exists an edge y y 0 within E ( T ) , where y 0 belongs to V 0 ( T ) . Under this condition, we can identify a vertex x within N T ( z ) that is not a part of V 0 ( T ) and does not lie on the unique path connecting z and y. Let us take N T ( x ) { z } = { x 1 , x 2 , , x r } , where r 1 . Given that Δ is greater than or equal to n 2 and y is distinct from z, we can deduce that
d T ( y ) n Δ 1 n 2 1 Δ 1 < d T ( z ) .
Set
T = T x x 1 x x r + y 0 x 1 + + y 0 x r .
Note that T has maximum degree Δ and that V ( T ) = V ( T ) . By utilizing Lemma 1, we conclude that
A B S ( T ) A B S ( T ) ,
which contradicts the choice we made regarding T. □
According to Fact 1, we have the option to designate a vertex x such that it is the unique vertex with an edge z x in E ( T ) , and d T ( x ) is greater than or equal to 2. Now, consider the sub-tree T x which includes the vertex x in the graph obtained by removing vertex z from graph T.
Fact 2.
T x K 1 , n Δ 1 .
Proof of Fact 2.
Let us assume that T x is not isomorphic to K 1 , n Δ 1 . In this case, there must be an edge y y in the sub-tree where neither y nor y is a pendent vertex. Additionally, let us denote the degrees of y and y as s and t, respectively, where both s and t are greater than or equal to 2. We select edge y y in such a way that the distance between z and y is maximized. Consequently, y takes the form of a claw with its neighbors in the set N T ( y ) V 0 ( T ) denoted as y 1 , y 2 , , y t 1 . Now, we define T as the result of removing the edges y y 1 , y y 2 , , y y t 1 and adding the edges y y 1 , y y 2 , , y y t 1 to the original graph T . Then,
A B S ( T ) A B S ( T ) < ( t 1 ) 1 2 1 + t + 1 2 s + t t 1 2 s + t = ( t 1 ) 1 2 1 + t ( t 1 ) 1 2 s + t = ( t 1 ) 1 2 1 + t 1 2 s + t < 0 ,
which contradicts the choice we made regarding T. □
Now, in view of Facts 1 and 2, the proof of Theorem 2 is completed. □

4. On n -Order Trees of Maximum Degree Less than n / 2

In this section, we consider Problem 1 when 5 Δ < n / 2 . We use a computer program to find a tree possessing the largest ABS index over T ( n , Δ ) for every pair ( n , Δ ) satisfying 5 Δ < n / 2 and 11 n 16 ; these trees with the largest ABS index are depicted in Figure 6 (The authors would like to thank Tariq Alraqad for helping in obtaining the trees shown in Figure 6). Based on the structures of these trees, we pose the following conjectures.
Conjecture 1.
If T is a graph possessing the largest ABS index over T ( n , Δ ) with 5 Δ < n / 2 , then T has at most a single vertex of degree t, where 2 t Δ 1 .
Conjecture 2.
Let T denote a graph possessing the largest ABS index over T ( n , Δ ) with 5 Δ < n / 2 . If T contains a vertex u with a degree of t, with 2 t Δ 1 , and if Δ is fixed, then there exists an integer n 0 , provided that for every n n 0 , all the neighbors of u have degree Δ .

5. Concluding Remarks

In this paper, the best possible upper bounds on the A B S index for fixed-order trees possessing a given maximum degree under certain constraints are derived. In particular, a solution to Problem 1 (that was posed quite recently by Hussain, Liu and Hua in [39]) is provided when 3 n / 2 Δ n 2 . Problem 1 with the constraints 5 Δ < n / 2 is also addressed by utilizing computer software to determine trees possessing the largest ABS indices over the class T ( n , Δ ) for every pair ( n , Δ ) satisfying 5 Δ < n / 2 and 11 n 16 . Based on the structures of the obtained extremal trees for 5 Δ < n / 2 , we posed two conjectures, namely Conjectures 1 and 2. Consequently, Problem 1 with the constraints 5 Δ < n / 2 is generally open for further research. Also, the present study can be extended towards the fixed-order and fixed-size graphs containing cycles with a given maximum degree; for instance, fixed-order unicyclic graphs, bicyclic graphs, and tricyclic graphs, with a given maximum degree.

Author Contributions

Conceptualization, V.M., S.E. and S.B.; methodology, V.M., S.E. and S.B.; software, S.E. and A.A.; validation, S.E., A.A., S.B. and A.A.A.; formal analysis, V.M., S.E. and S.B.; investigation, V.M., S.E. and S.B.; writing—original draft preparation, V.M., S.E. and S.B.; writing—review and editing, S.E., A.A., S.B., H.S. and A.A.A.; supervision, A.A.A.; project administration, A.A. and A.A.A.; funding acquisition, A.A., H.S. and A.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Scientific Research Deanship at the University of Ha’il—Saudi Arabia through project number RG-23 093.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. The trees possessing the greatest ABS index in T ( n , 4 ) with 7 n 10 .
Figure 1. The trees possessing the greatest ABS index in T ( n , 4 ) with 7 n 10 .
Mathematics 12 02704 g001
Figure 2. Examples of trees possessing the greatest ABS index in the class T ( 10 , 3 ) .
Figure 2. Examples of trees possessing the greatest ABS index in the class T ( 10 , 3 ) .
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Figure 3. Examples of trees possessing the greatest ABS index in the class T ( 11 , 3 ) .
Figure 3. Examples of trees possessing the greatest ABS index in the class T ( 11 , 3 ) .
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Figure 4. The tree T 7 * used in the proof of Theorem 1.
Figure 4. The tree T 7 * used in the proof of Theorem 1.
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Figure 5. The tree W n , Δ defined in Theorem 2.
Figure 5. The tree W n , Δ defined in Theorem 2.
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Figure 6. The trees that have the greatest ABS indices in T ( n , Δ ) for every pair ( n , Δ ) satisfying 5 Δ < n / 2 and 11 n 16 .
Figure 6. The trees that have the greatest ABS indices in T ( n , Δ ) for every pair ( n , Δ ) satisfying 5 Δ < n / 2 and 11 n 16 .
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Maitreyi, V.; Elumalai, S.; Ali, A.; Balachandran, S.; Saber, H.; Attiya, A.A. On the Maximum ABS Index of Fixed-Order Trees with a Given Maximum Degree. Mathematics 2024, 12, 2704. https://doi.org/10.3390/math12172704

AMA Style

Maitreyi V, Elumalai S, Ali A, Balachandran S, Saber H, Attiya AA. On the Maximum ABS Index of Fixed-Order Trees with a Given Maximum Degree. Mathematics. 2024; 12(17):2704. https://doi.org/10.3390/math12172704

Chicago/Turabian Style

Maitreyi, Venkatesan, Suresh Elumalai, Akbar Ali, Selvaraj Balachandran, Hicham Saber, and Adel A. Attiya. 2024. "On the Maximum ABS Index of Fixed-Order Trees with a Given Maximum Degree" Mathematics 12, no. 17: 2704. https://doi.org/10.3390/math12172704

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